I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Cataloging the visible universe through Bayesian inference ..:
Regier, Jeffrey
;
Fischer, Keno
;
Pamnany, Kiran
...
Journal of Parallel and Distributed Computing. 127 (2019) - p. 89-104 , 2019
Link:
https://doi.org/10.1016/j.jpdc.2018.12.008
RT Journal T1
Cataloging the visible universe through Bayesian inference in Julia at petascale
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.jpdc.2018.12.008&Exemplar=1&LAN=DE A1 Regier, Jeffrey A1 Fischer, Keno A1 Pamnany, Kiran A1 Noack, Andreas A1 Revels, Jarrett A1 Lam, Maximilian A1 Howard, Steve A1 Giordano, Ryan A1 Schlegel, David A1 McAuliffe, Jon A1 Thomas, Rollin A1 Prabhat PB Elsevier BV YR 2019 SN 0743-7315 JF Journal of Parallel and Distributed Computing VO 127 SP 89 OP 104 LK http://dx.doi.org/https://doi.org/10.1016/j.jpdc.2018.12.008 DO https://doi.org/10.1016/j.jpdc.2018.12.008 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)